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• W794274215 abstract "In this paper, a novel least square support vector machines (LS-SVM) based on geometry information and training data is proposed to improve the performance of mobile localization in the non-line-of-sight (NLOS) environments. Simulations show that the performance of the proposed method is better than the geometry method and the learning method based RBF kernel function in difference channel environments." @default.
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• W794274215 date "2015-01-01" @default.
• W794274215 modified "2023-09-23" @default.
• W794274215 title "Method for Mitigation of NLOS Error based on SVM using Geometry Information and Training data" @default.
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• W794274215 doi "https://doi.org/10.2991/icismme-15.2015.2" @default.
• W794274215 hasPublicationYear "2015" @default.
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